Xiang Song

Orcid: 0000-0003-1740-9104

Affiliations:
  • Xi'an Jiaotong University, Xi'an, China


According to our database1, Xiang Song authored at least 13 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification.
IEEE Trans. Medical Imaging, May, 2025

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation.
CoRR, February, 2025

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning Endogenous Attention for Incremental Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Learning Noise Adapters for Incremental Speech Enhancement.
IEEE Signal Process. Lett., 2024

Global self-sustaining and local inheritance for source-free unsupervised domain adaptation.
Pattern Recognit., 2024

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Evolving Parameterized Prompt Memory for Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic Knowledge Guided Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2023


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